CN111752135A

CN111752135A - State evaluation method, watch band, and storage medium

Info

Publication number: CN111752135A
Application number: CN202010230456.2A
Authority: CN
Inventors: 神山祥太郎; 田中佑弥; 重城幸一郎
Original assignee: Seiko Instruments Inc
Current assignee: Seiko Instruments Inc
Priority date: 2019-03-28
Filing date: 2020-03-27
Publication date: 2020-10-09
Anticipated expiration: 2040-03-27
Also published as: CN111752135B; CH716023A2

Abstract

The invention provides a state evaluation method, a watch belt and a storage medium, which can evaluate the state of any watch and inform the appropriate repair and inspection content and time. The state evaluation program causes the computer to realize the following functions: a state data acquisition function for acquiring state data representing the state of a wristwatch, which is collected by a sensor mounted on a wristwatch strap attached to the wristwatch; a state evaluation function that executes a state evaluation process of evaluating a state of the watch based on the state data; and a notification data output function that outputs notification data indicating at least one of a result of the state evaluation processing and a repair check content based on the result when a predetermined condition is satisfied in the state evaluation processing.

Description

State evaluation method, watch band, and storage medium

Technical Field

The invention relates to a state evaluation method, a watch band and a storage medium.

Background

Mechanical watches attract many users for reasons such as their attractiveness as: with a movement that is elaborately assembled. However, the state of the mechanical wristwatch may vary depending on the use situation and the use environment, and repair and inspection such as inspection may be required. Therefore, the state of the mechanical watch becomes a matter of great concern to the user of the mechanical watch.

For example, patent document 1 discloses, as an example of a technique for evaluating the accuracy of a mechanical wristwatch and notifying the customer of the accuracy, a wristwatch having a mechanical movement and a circuit board for realizing an intelligent wristwatch function having a function of measuring a difference rate or the like.

Patent document 1: european patent application publication No. 3330811

However, the above-described wristwatch can only evaluate the accuracy of the time displayed by a mechanical movement built into a case together with a circuit board. Therefore, the watch cannot realize the following functions: the state of a wristwatch such as a mechanical wristwatch that the user has previously liked to use is evaluated, and the content and timing of appropriate repair and inspection are notified.

Disclosure of Invention

The present invention has been made in view of the above problems, and an object thereof is to provide a state evaluation program and a wristwatch band: the state of any wristwatch can be evaluated, and the content and timing of appropriate repair checks can be notified.

In order to achieve the above object, one embodiment of the present invention is a state evaluation method for realizing the following functions: a state data acquisition function for acquiring state data representing the state of a wristwatch, which is collected by a sensor mounted on a wristwatch strap attached to the wristwatch; a state evaluation function that executes a state evaluation process of evaluating a state of the watch based on the state data; and a notification data output function that outputs notification data indicating at least one of a result of the state evaluation processing and repair check content based on the result, when a predetermined condition is satisfied in the state evaluation processing.

In the state evaluation method according to one aspect of the present invention, the state data acquisition function is a time audio data acquisition function that: acquiring time sound data representing a time sound of the watch collected by the sensor within a predetermined time, wherein the state evaluation function is an accuracy evaluation function of: and executing precision evaluation processing for evaluating precision of the time displayed by the watch according to the time sound data.

In the state evaluation method according to one aspect of the present invention, the accuracy evaluation function is a function of: in the accuracy evaluation process, the time during which the time sounds of the wristwatch are collected is accumulated to calculate an accumulated time sound generation time, and it is determined whether or not the accumulated time sound generation time exceeds a predetermined threshold, and the notification data output function is a function of: when it is determined in the accuracy evaluation processing that the integrated time sound generation time exceeds a predetermined threshold, the notification data prompting the watch to be inspected is output.

In the state evaluation method according to one aspect of the present invention, the accuracy evaluation function is a function of: in the accuracy evaluation process, a roll angle of a balance provided in the wristwatch is calculated from a time sound of the wristwatch, a time period during which the roll angle exceeds a predetermined threshold value is accumulated to calculate an accumulated driving time which is a time period during which the wristwatch is driven, and whether or not the accumulated driving time exceeds the predetermined threshold value is determined, and the notification data output function is a function of: and outputting the notification data for prompting the examination and repair of the wristwatch when the accumulated driving time is determined to exceed a predetermined threshold value in the accuracy evaluation processing.

In the state evaluation method according to one aspect of the present invention, the accuracy evaluation function is a function of: in the accuracy evaluation process, a swing angle of a balance provided in the wristwatch is calculated based on a time sound of the wristwatch, and it is determined whether or not the swing angle is equal to or less than a predetermined threshold value, and the notification data output function is a function of: when it is determined in the accuracy evaluation processing that the swing angle is equal to or less than a predetermined threshold value, the notification data prompting the watch to be inspected is output.

In the state evaluation method according to one aspect of the present invention, the accuracy evaluation function is a function of: in the accuracy evaluation process, a balance angle of a balance included in the wristwatch is calculated based on a time sound of the wristwatch, and it is determined whether or not the balance angle exceeds a predetermined threshold value, and the notification data output function is a function of: when it is determined in the accuracy evaluation processing that the pivot angle exceeds a predetermined threshold, the notification data indicating that the over travel has occurred is output.

In the state evaluation method according to one aspect of the present invention, the accuracy evaluation function is a function of: in the accuracy evaluation process, a roll angle of a balance provided in the wristwatch is calculated from a time sound of the wristwatch, and a cumulative non-portable time obtained by accumulating a non-portable time in which the roll angle changes within a predetermined period of time at or below a predetermined fluctuation range is calculated, and it is determined whether or not the cumulative non-portable time exceeds a duration of the wristwatch, the non-portable time indicating a time during which the wristwatch is not carried, and the notification data output function is a function of: and outputting the notification data for urging winding of the power spring of the wristwatch when it is determined in the accuracy evaluation process that the accumulated non-carrying time exceeds the duration of the wristwatch.

In the state evaluation method according to one aspect of the present invention, the accuracy evaluation function is a function of: in the accuracy evaluation process, a roll angle of a balance provided in the wristwatch is calculated from a time sound of the wristwatch, and an accumulated carried time obtained by accumulating a carried time in which the roll angle fluctuates in a predetermined period so as to exceed a predetermined fluctuation range is calculated, and it is determined whether or not a time obtained by multiplying the accumulated carried time by a predetermined coefficient in consideration of a body temperature of a user carrying the wristwatch exceeds a predetermined time, and the notification data output function is a function of: when it is determined in the accuracy evaluation processing that the time obtained by multiplying the cumulative carried time by the predetermined coefficient exceeds a predetermined time, the notification data prompting the examination and repair of the wristwatch is output.

In the state evaluation method according to one aspect of the present invention, the accuracy evaluation function is a function of: in the accuracy evaluation processing, a difference rate of the wristwatch during a predetermined period is calculated from a time sound of the wristwatch, and it is determined whether or not a change amount of the difference rate exceeds a predetermined threshold, and the notification data output function is a function of: and outputting the notification data for urging demagnetization or repair of the wristwatch when it is determined that the amount of change in the difference rate exceeds a predetermined threshold value.

In the state evaluation method according to one aspect of the present invention, the state data acquisition function includes a posture data acquisition function of acquiring posture data representing a posture of the wristwatch collected by the sensor, and a time sound data acquisition function of acquiring time sound data representing a time sound of the wristwatch collected by the sensor, and the state evaluation function includes: the method includes the steps of evaluating a tendency of a posture of the wristwatch based on the posture data, calculating a difference rate of the wristwatch based on a time sound indicated by the time sound data, and determining whether the difference rate of the wristwatch deviates from a predetermined range, wherein the notification data output function is a function of: when it is determined that the difference rate of the wristwatch deviates from the predetermined range, the notification data urging the maintenance of the wristwatch is output in accordance with the tendency of the posture of the wristwatch.

In the state evaluation method according to one aspect of the present invention, the state data acquisition function includes an acceleration data acquisition function of acquiring acceleration data representing acceleration of the wristwatch collected by the sensor, and a time sound data acquisition function of acquiring time sound data representing time sound of the wristwatch collected by the sensor, and the state evaluation function is a function of determining whether or not: the alarm data output function is a function in which an acceleration indicated by the acceleration data exceeds a predetermined threshold value, and a difference rate of the wristwatch calculated from the time-sound data deviates from a predetermined range, and the alarm data output function is a function in which: and outputting the notification data for prompting the examination and repair of the wristwatch when it is determined that the acceleration indicated by the acceleration data exceeds a predetermined threshold and the difference rate of the wristwatch calculated from the time sound data is out of a predetermined range.

In the state evaluation method according to one aspect of the present invention, the state data acquisition function is an angular velocity frequency data acquisition function that acquires angular velocity frequency data collected by the sensor, the angular velocity frequency data indicating a frequency of an angular velocity applied to the wristwatch in at least two angular velocity ranges, and the state evaluation function is a function of: and a notification data output function for determining whether or not a frequency in a range in which the angular velocity indicated by the angular velocity frequency data exceeds a predetermined threshold, the notification data output function being a function for: when it is determined that the frequency in the range in which the angular velocity indicated by the angular velocity frequency data exceeds the predetermined threshold, the notification data indicating that the power spring of the wristwatch has been wound up is output.

In the state evaluation method according to one aspect of the present invention, the state data acquisition function is an angular velocity frequency data acquisition function that acquires angular velocity frequency data collected by the sensor, the angular velocity frequency data indicating a frequency of an angular velocity applied to the wristwatch in at least two angular velocity ranges, and the state evaluation function is a function of: and a notification data output function for determining whether or not a frequency in a range in which the angular velocity indicated by the angular velocity frequency data exceeds a predetermined threshold, the notification data output function being a function for: when it is not determined that the frequency in the range in which the angular velocity indicated by the angular velocity frequency data exceeds the predetermined threshold, the notification data urging the power spring of the wristwatch to be wound up is output.

In the state evaluation method according to one aspect of the present invention, the state data acquisition function includes a temperature data acquisition function of acquiring temperature data representing the temperature of the wristwatch collected by the sensor, and a time sound data acquisition function of acquiring time sound data representing the time sound of the wristwatch collected by the sensor, and the state evaluation function includes: and a notification data output function for determining whether or not a difference rate of the wristwatch calculated from the time sound data is out of a predetermined range at a temperature indicated by the temperature data, the notification data output function being a function of: and outputting the notification data for prompting the watch to be overhauled when the difference rate of the watch calculated according to the time sound data is determined to be out of a predetermined range at the temperature indicated by the temperature data.

In the state evaluation method according to one aspect of the present invention, the state data acquisition function is a temperature data acquisition function that: acquiring temperature data representing a temporal change in temperature of the wristwatch collected by the sensor, wherein the state evaluation function is a function of: and a notification data output function for calculating an accumulated non-carrying time, which is an accumulation of time during which the wristwatch is not carried by the user, by accumulating times during which the temperature indicated by the temperature data is lower than a predetermined threshold value, and determining whether or not the accumulated non-carrying time exceeds the predetermined threshold value, the notification data output function being a function of: and outputting the notification data for urging winding of the power spring of the wristwatch when it is determined that the accumulated non-carrying time exceeds a predetermined threshold value.

In the state evaluation method according to one aspect of the present invention, the state data acquisition function includes a magnetic data acquisition function including: acquiring magnetic data representing a temporal change in magnetic intensity applied to the wristwatch, the magnetic data being collected by the sensor, the state evaluation function including: and a notification data output function for determining whether or not the magnetic intensity indicated by the magnetic data exceeds a predetermined threshold, the notification data output function including: and outputting the notification data for urging demagnetization of the wristwatch when it is determined that the magnetic intensity indicated by the magnetic data exceeds a predetermined threshold value.

In the state evaluation method according to one aspect of the present invention, the state data acquisition function further includes a time sound data acquisition function that: the state evaluation function further includes the following functions: and a notification data output function for determining whether or not a difference rate calculated from the time sound indicated by the time sound data is out of a predetermined range, the notification data output function further including: and outputting the notification data for prompting the watch to be overhauled when the difference calculated according to the time sound shown by the time sound data is judged to be out of a predetermined range.

In addition, one aspect of the present invention is a wristwatch band equipped with a computer that executes any one of the above-described state evaluation methods.

Further, an aspect of the present invention is a storage medium storing a program for executing any one of the above-described state evaluation methods.

According to the present invention, the state of any wristwatch can be evaluated, and the content and timing of appropriate repair and inspection can be notified.

Drawings

Fig. 1 is a diagram showing an example of a wristwatch according to a first embodiment.

Fig. 2 is a diagram showing an example of a computer mounted on the wristwatch band of the first embodiment.

Fig. 3 is a diagram showing an example of the accuracy evaluation program executed by the CPU according to the first embodiment.

Fig. 4 is a diagram showing an example of a waveform of a time sound detected by the wristwatch band of the first embodiment.

Fig. 5 is a diagram showing an example of the cumulative time tone generation time calculated by the wristwatch band of the first embodiment.

Fig. 6 is a flowchart showing an example of processing performed by the wristwatch band of the first embodiment.

Fig. 7 is a diagram showing an example of the swing angle calculated by the wristwatch band of the second embodiment.

Fig. 8 is a diagram showing an example of the cumulative drive time calculated by the wristwatch band of the second embodiment.

Fig. 9 is a flowchart showing an example of processing performed by the wristwatch band of the second embodiment.

Fig. 10 is a diagram showing an example of the swing angle calculated by the wristwatch band of the third embodiment.

Fig. 11 is a flowchart showing an example of processing performed by the wristwatch band of the third embodiment.

Fig. 12 is a diagram showing an example of the swing angle calculated by the wristwatch band of the fourth embodiment.

Fig. 13 is a flowchart showing an example of processing performed by the wristwatch band of the fourth embodiment.

Fig. 14 is a diagram showing an example of the swing angle in the case of the flat posture and the swing angle in the case of the upright posture calculated by the wristwatch band of the fifth embodiment.

Fig. 15 is a flowchart showing an example of processing performed by the wristwatch band of the fifth embodiment.

Fig. 16 is a flowchart showing an example of processing performed by the wristwatch band of the sixth embodiment.

Fig. 17 is a diagram showing an example of the swing angle calculated by the wristwatch band of the seventh embodiment.

Fig. 18 is a flowchart showing an example of processing performed by the wristwatch band of the seventh embodiment.

Fig. 19 is a diagram showing an example of a state evaluation program executed by the CPU in the eighth embodiment.

Fig. 20 is a diagram showing an example of the tendency of the posture of the wristwatch evaluated from the posture data in the wristwatch band of the eighth embodiment.

Fig. 21 is a diagram showing an example of the relationship among the posture of the wristwatch shown in the posture data of the eighth embodiment, the difference rate calculated based on the time-sound data, and the difference rate to be adjusted at the time of inspection.

Fig. 22 is a flowchart showing an example of processing performed by the wristwatch band of the eighth embodiment.

Fig. 23 is a diagram showing an example of the acceleration of the wristwatch shown in the acceleration data of the ninth embodiment.

Fig. 24 is a flowchart showing an example of processing performed by the wristwatch band of the ninth embodiment.

Fig. 25 is a diagram showing an example of the frequency of the angular velocity shown in the angular velocity frequency data according to the tenth embodiment.

Fig. 26 is a diagram showing an example of the frequency of the angular velocity applied to the wristwatch shown in the angular velocity frequency data according to the tenth embodiment.

Fig. 27 is a flowchart showing an example of processing performed by the wristwatch band of the tenth embodiment.

Fig. 28 is a diagram showing an example of the frequency of the temperature of the wristwatch shown in the temperature data of the eleventh embodiment.

Fig. 29 is a diagram showing an example of the relationship between the temperature of the wristwatch indicated by the temperature data of the eleventh embodiment and the difference rate of the wristwatch calculated based on the time-sound data.

Fig. 30 is a flowchart showing an example of processing performed by the wristwatch band of the eleventh embodiment.

Fig. 31 is a diagram showing an example of a temporal change in temperature of the wristwatch shown in the temperature data of the twelfth embodiment.

Fig. 32 is a flowchart showing an example of processing performed by the wristwatch band of the twelfth embodiment.

Fig. 33 is a diagram showing an example of a temporal change in magnetic strength shown in the time sound data of the thirteenth embodiment.

Fig. 34 is a flowchart showing an example of processing performed by the wristwatch band of the thirteenth embodiment.

Description of the reference symbols

100: a watch; 10: a watch case; 20: a spring lever; 30: a band for a watch; 31: a sensor; 32: an amplifier; 33: a filter; 34: an oscillation circuit; 35: a frequency dividing circuit; 36: a ROM; 37: a RAM; 38: a CPU; 39: a communication unit; 360: a precision evaluation program; 361: a time and sound data acquisition function; 362: a precision evaluation function; 363: a notification data output function; 365: a state evaluation program; 366: a status data acquisition function; 367: a state evaluation function; 368: a notification data output function.

Detailed Description

[ first embodiment ]

The accuracy evaluation program of the first embodiment is explained with reference to fig. 1 to 5. Fig. 1 is a diagram showing an example of a wristwatch according to a first embodiment. Fig. 2 is a diagram showing an example of a computer mounted on the wristwatch band of the first embodiment. As shown in fig. 1, the wristwatch 100 includes a case 10, a spring lever 20, and a wristwatch band 30.

The case 10 is a case housing a mechanical movement, hour hand, minute hand, second hand, and the like, and is connected to a band 30 for a watch via a spring lever 20.

The wristwatch band 30 includes a sensor 31, an amplifier 32, a filter 33, an oscillation circuit 34, a frequency dividing circuit 35, a ROM (Read Only Memory) 36, a RAM (Random Access Memory) 37, a CPU (Central Processing Unit) 38, and a communication Unit 39.

The sensor 31 is a device that measures a physical quantity indicating a state of the wristwatch 100 and generates state data indicating the state of the wristwatch 100, and the sensor 31 may include a plurality of sensors for measuring different physical quantities. For example, the sensor 31 is a device that detects a time sound generated inside the wristwatch 100 and generates time sound data indicating the time sound. The time sound here is, for example, a sound generated by the operation of an escapement provided in the watch 100. That is, the time sound here is, for example, a sound generated when an escape wheel of the watch 100 comes into contact with a pallet. The sensor 31 is, for example, a piezoelectric element or a microphone. The sensor 31 is in contact with the spring lever 20 attached to the wristwatch 100, and may be pressed against the spring lever 20 by a spring or the like.

The sensor 31 detects vibrations transmitted through the wristwatch case 10 and the spring lever 20 of the wristwatch 100, thereby detecting a time sound. Alternatively, the time sound is detected by detecting the vibration transmitted through the wristwatch case 10 of the wristwatch 100 and the vibration transmitted through the air. Then, the sensor 31 converts the detected time sound into time sound data, which is data in an analog format or a digital format, and transmits the time sound data to the amplifier 32. The amplifier 32 amplifies the amplitude of the waveform of the time tone indicated by the time tone data. The filter 33 removes noise included in the waveform of the time tone amplified by the amplifier 32 and transmits the time tone data to the CPU 38.

The oscillation circuit 34 generates a signal having a prescribed frequency (for example, a frequency of 32768 Hz) and sends it to the frequency dividing circuit 35. The frequency dividing circuit 35 divides the frequency of the signal received from the oscillation circuit 34 to generate a clock signal serving as a reference of timing, and sends the clock signal to the CPU 38.

The ROM 36 stores a program (for example, a precision evaluation program 360 shown in fig. 3) read out and executed by the CPU 38. Fig. 3 is a diagram showing an example of the accuracy evaluation program executed by the CPU according to the first embodiment. As shown in fig. 3, the accuracy evaluation program 360 includes a time-sound data acquisition function 361, an accuracy evaluation function 362, and a notification data output function 363. The accuracy evaluation program 360 is an example of a state evaluation program. The time sound data acquisition function 361 and the accuracy evaluation function 362 are examples of a state data acquisition function and a state evaluation function, respectively. The state data acquisition function acquires state data indicating the state of the wristwatch 100 collected by a sensor 31 mounted on a wristwatch band 30 attached to the wristwatch 100. The state evaluation function executes state evaluation processing for evaluating the state of the watch 100 based on the state data.

The time sound data acquisition function 361 is a function of acquiring time sound data representing the time sound of the wristwatch 100 collected by the sensor 31 mounted on the wristwatch band 30 attached to the wristwatch 100 for a predetermined period of time. The predetermined time referred to here is a time set at an arbitrary timing within a predetermined period, and may be a periodic timing or an aperiodic timing. However, the number of times the sensor 31 collects the time tone of the watch 100 is preferably such that the battery of the watch 100 is not prematurely consumed.

The accuracy evaluation function 362 is a function of executing accuracy evaluation processing for evaluating the accuracy of the time displayed by the wristwatch 100 based on the time and sound data. Specifically, in the accuracy evaluation process, the accuracy evaluation function 362 calculates the integrated time sound generation time by integrating the times at which the time sounds of the wristwatch 100 are collected.

Fig. 4 is a diagram showing an example of a waveform of a time sound detected by the wristwatch band of the first embodiment. The period T11 and the period T12 shown in fig. 4 are examples of a period during which the time tone is generated, that is, a period during which the wristwatch 100 is driven. The period T10 shown in fig. 4 is an example of a period in which the time tone is not generated, that is, a period in which the wristwatch 100 is not driven.

After the period T11 ends, the accuracy evaluation function 362 regards the period T11 as the time when the time sound of the wristwatch 100 is collected, and calculates the length of the period T11 as the cumulative time sound generation time. Then, even when the period T10 ends, the accuracy evaluation function 362 does not integrate the period T10 as the time when the time sound of the wristwatch 100 is collected. After the period T12 ends, the accuracy evaluation function 362 sets the period T11 and the period T12 as times at which the time tones of the wristwatch 100 are collected, and calculates the total of the lengths of the period T11 and the period T12 as the cumulative time tone generation time. Fig. 5 is a diagram showing an example of the cumulative time tone generation time calculated by the wristwatch band of the first embodiment. For example, as shown in fig. 5, the accuracy evaluation function 362 updates the accumulated time tone generation time every time a time tone is generated by repeating the same processing.

Then, the accuracy evaluation function 362 determines whether or not the integrated time sound generation time exceeds a predetermined threshold. For example, the accuracy evaluation function 362 determines whether or not the integrated time sound generation time exceeds a threshold value indicated by a broken line Th1 shown in fig. 5.

The notification data output function 363 outputs notification data indicating at least one of the result of the state evaluation processing and the repair check content based on the result, when a predetermined condition is satisfied in the state evaluation processing. For example, when a predetermined condition is satisfied in the accuracy evaluation processing, the notification data output function 363 outputs notification data indicating at least one of the result of the accuracy evaluation processing and the repair check content based on the result. For example, when it is determined in the accuracy evaluation processing that the integrated time sound generation time exceeds a predetermined threshold, the notification data output function 363 outputs notification data urging the examination and repair of the wristwatch. Also, the notification data is output to another device (e.g., a smartphone, a tablet computer), and is output through a display or a speaker that the other device has.

The RAM 37 stores various kinds of time-sound data collected using the sensor 31, the amplifier 32, and the filter 33, for example. The CPU38 reads out and executes programs stored in the ROM 36. The communication unit 39 performs communication with a device (e.g., a smartphone or a tablet computer) other than the wristwatch 100. The communication performed by the communication unit 39 is, for example, wireless communication such as bluetooth (registered trademark).

Next, an example of processing performed by the wristwatch band of the first embodiment will be described with reference to fig. 6. Fig. 6 is a flowchart showing an example of processing performed by the wristwatch band of the first embodiment.

In step S11, the wristwatch band 30 acquires time sound data indicating the time sound of the wristwatch 100 by the time sound data acquisition function 361.

In step S12, the watch band 30 calculates the integrated time sound generation time by integrating the times of the time sounds collected by the watch 100 by the accuracy evaluation function 362.

In step S13, the watch band 30 determines by the accuracy evaluation function 362 whether or not the cumulative time tone generation time calculated in step S12 exceeds a predetermined threshold. If it is determined that the integrated time sound generation time calculated in step S12 exceeds the predetermined threshold value (yes in step S13), the wristwatch band 30 proceeds to step S14, and if it is determined that the integrated time sound generation time calculated in step S12 is equal to or less than the predetermined threshold value (no in step S13), the process returns to step S11.

In step S14, the watch band 30 outputs notification data urging the examination and repair of the watch 100 by the notification data output function 363. Specifically, the wristwatch band 30 transmits the notification data to a device other than the wristwatch 100 using the communication unit 39.

The accuracy evaluation program 360 according to the first embodiment has been described above. The accuracy evaluation program 360 executes the following accuracy evaluation processing: the accuracy of the time displayed by the wristwatch 100 is evaluated based on time sound data representing the time sound of the wristwatch 100 collected by the sensor 31 mounted on the wristwatch band 30 over a predetermined period of time. Then, when a predetermined condition is satisfied in the accuracy evaluation processing, the accuracy evaluation program 360 outputs notification data indicating at least one of the result of the accuracy evaluation processing and the repair check content based on the result.

Therefore, even if the wristwatch 100 itself does not have a function of evaluating and notifying the accuracy of the time displayed by the wristwatch 100, the accuracy evaluation program 360 can evaluate the accuracy of the time displayed by the wristwatch 100 and notify the appropriate repair check content and timing. Therefore, the accuracy evaluation program 360 can continue to use the wristwatch 100 such as a mechanical wristwatch that the user has previously liked to use, and can evaluate and notify the accuracy of the time displayed by the wristwatch 100.

When the cumulative time sound generation time obtained by summing up the times at which the time sounds of the wristwatch 100 are collected exceeds a predetermined threshold, the accuracy evaluation program 360 outputs notification data urging the maintenance of the wristwatch 100. That is, the accuracy evaluation program 360 determines whether to output the notification data based on the time tone of the wristwatch 100.

Therefore, since the accuracy evaluation program 360 does not convert the time sound data into other data, the load on the CPU38 can be reduced, and the above-described effects can be achieved.

[ second embodiment ]

The accuracy evaluation program according to the second embodiment will be described with reference to fig. 7. The accuracy evaluation function and the notification data output function of the accuracy evaluation program of the second embodiment are different from those of the first embodiment. Therefore, in the second embodiment, the accuracy evaluation function and the notification data are mainly described, and the description of the same contents as those of the first embodiment is appropriately omitted.

The accuracy evaluation function calculates a swing angle of a balance wheel of the wristwatch based on a time sound of the wristwatch in the accuracy evaluation process. Specifically, the accuracy evaluation function calculates the oscillation angle of the balance within a predetermined time. The predetermined time here means a time set at an arbitrary timing within a predetermined period, and may be a periodic timing or an aperiodic timing. When the predetermined time is set at periodic timing, the period is, for example, 24 hours.

Fig. 7 is a diagram showing an example of the swing angle calculated by the wristwatch band of the second embodiment. Fig. 7 shows an example of the balance oscillation angle calculated every 24 hours by the accuracy evaluation function. The period T21 and the period T22 shown in fig. 7 are examples of a period in which the pivot angle exceeds a predetermined threshold value, that is, a period in which the wristwatch is driven. The period T20 shown in fig. 7 is an example of a period in which the swing angle is equal to or less than a predetermined threshold value, that is, a period in which the watch is not driven.

After the period T21 ends, the accuracy evaluation function estimates that the wristwatch is driven during the period T21, and calculates the length of the period T21 as the integrated driving time. Then, even when the period T20 ends, the accuracy evaluation function 362 estimates that the wristwatch is not driven during the period T20, and does not integrate the length of the period T20 as the time during which the wristwatch is driven. Then, the accuracy evaluation function 362 estimates that the wristwatch is driven during the period T22, and calculates the total value of the lengths of the period T21 and the period T22 as the integrated driving time. The accuracy evaluation function repeats the same processing, thereby updating the integrated drive time at the set timing.

The accuracy evaluation function then determines whether or not the integrated drive time exceeds a predetermined threshold. Fig. 8 is a diagram showing an example of the cumulative drive time calculated by the wristwatch band of the second embodiment. A broken line Th21 shown in fig. 8 indicates the predetermined threshold value. For example, the accuracy evaluation function determines whether or not the integrated driving time exceeds a threshold value indicated by a broken line Th21 shown in fig. 8.

When the accumulated driving time is determined to exceed the predetermined threshold value in the accuracy evaluation processing, the notification data output function outputs notification data urging the examination and repair of the wristwatch.

Next, an example of processing performed by the wristwatch band of the second embodiment will be described with reference to fig. 9. Fig. 9 is a flowchart showing an example of processing performed by the wristwatch band of the second embodiment.

In step S21, the wristwatch band acquires time sound data indicating a time sound of the wristwatch with a time sound data acquisition function.

In step S22, the wristwatch band calculates the pivot angle of the balance of the wristwatch from the time sound of the wristwatch by the accuracy evaluation function, and calculates the cumulative drive time, which is the time for which the pivot angle exceeds a predetermined threshold value, by cumulatively adding up the time.

In step S23, the wristwatch band determines whether or not the cumulative drive time calculated in step S22 exceeds a predetermined threshold value by the accuracy evaluation function. If it is determined that the cumulative drive time calculated in step S22 exceeds the predetermined threshold value (yes in step S23), the wristwatch band proceeds to step S24, and if it is determined that the cumulative drive time calculated in step S22 is equal to or less than the predetermined threshold value (no in step S23), the wristwatch band returns to step S21.

In step S24, the wristwatch band outputs notification data urging the watch to be repaired or overhauled by the notification data output function.

The accuracy evaluation program according to the second embodiment is explained above. The accuracy evaluation program according to the second embodiment calculates the pivot angle of the balance wheel included in the wristwatch based on the time sound collected by the sensor mounted on the band for the wristwatch within a predetermined time period, and calculates the time during which the wristwatch is driven, that is, the integrated driving time, by integrating the time during which the pivot angle exceeds a predetermined threshold value. When it is determined that the integrated drive time exceeds the predetermined threshold, the accuracy evaluation program according to the second embodiment outputs notification data prompting the examination and repair of the wristwatch.

Therefore, even if the wristwatch itself does not have a function of evaluating and notifying the accuracy of the time displayed by the wristwatch, the accuracy evaluation program of the second embodiment can evaluate the accuracy of the time displayed by the wristwatch and notify the appropriate repair check content and timing. Therefore, the accuracy evaluation program can continue to use a wristwatch such as a mechanical wristwatch that the user has previously liked to use, and can evaluate and notify the accuracy of the time displayed by the wristwatch.

The accuracy evaluation program according to the second embodiment calculates the tilt angle of the balance of the wristwatch based on the time sound of the wristwatch, and determines whether or not to output notification data based on the tilt angle. The noise of the pivot angle is less than that of the time tone. Therefore, the accuracy evaluation program according to the second embodiment can output the notification data after accurately determining whether or not the integrated drive time exceeds the predetermined threshold.

[ third embodiment ]

The accuracy evaluation program according to the third embodiment will be described with reference to fig. 10. The accuracy evaluation function and the notification data output function of the accuracy evaluation program of the third embodiment are different from those of the above two accuracy evaluation programs. Therefore, in the third embodiment, the accuracy evaluation function and the notification data are mainly described, and the description of the same contents as those of the above two embodiments is appropriately omitted.

The accuracy evaluation function calculates a swing angle of a balance wheel of the wristwatch based on a time sound of the wristwatch in the accuracy evaluation process. Specifically, the accuracy evaluation function calculates the oscillation angle of the balance within a predetermined time. The predetermined time here is a time set at an arbitrary timing within a predetermined period, and may be a periodic timing or an aperiodic timing. When the predetermined time is set at periodic timing, the period is, for example, 24 hours.

Fig. 10 is a diagram showing an example of the swing angle calculated by the wristwatch band of the third embodiment. Fig. 10 shows an example of the balance oscillation angle calculated every 24 hours by the accuracy evaluation function. The pivot angle calculated by the accuracy evaluation function sometimes decreases with the passage of time. This is because there are cases where: the amount of lubricating oil adhering to the components constituting the movement of the wristwatch is reduced, or the power spring of the wristwatch is deteriorated, so that the resistance of the movement during operation is increased, or the torque of the power spring is insufficient. The power spring is incorporated in the barrel wheel and serves as a power source for driving the wristwatch 100. Also, the power spring may affect the duration and torque of the watch 100.

The accuracy evaluation function then determines whether or not the pivot angle is equal to or less than a predetermined threshold value. For example, the accuracy evaluation function determines whether or not the swing angle is equal to or less than a threshold value indicated by a broken line Th3 shown in fig. 10.

When the swing angle is determined to be equal to or less than the predetermined threshold value in the accuracy evaluation processing, the notification data output function outputs notification data urging the examination and repair of the wristwatch.

Next, an example of processing performed by the wristwatch band of the third embodiment will be described with reference to fig. 11. Fig. 11 is a flowchart showing an example of processing performed by the wristwatch band of the third embodiment.

In step S31, the wristwatch band acquires time sound data indicating a time sound of the wristwatch with a time sound data acquisition function.

In step S32, the watch band calculates the balance angle of the watch from the time sound of the watch by the accuracy evaluation function.

In step S33, the watch band determines by the accuracy evaluation function whether or not the pivot angle calculated in step S32 is equal to or less than a predetermined threshold value. If the swing angle calculated in step S32 is determined to be equal to or less than the predetermined threshold value (yes in step S33), the process proceeds to step S34, and if the swing angle calculated in step S32 is determined to exceed the predetermined threshold value (no in step S33), the process returns to step S31.

In step S34, the wristwatch band outputs notification data urging the watch to be repaired or overhauled by the notification data output function.

The accuracy evaluation program according to the third embodiment is explained above. The accuracy evaluation program according to the third embodiment calculates the balance angle of the wristwatch from the time sound collected by the sensor mounted on the wristwatch band within a predetermined time. When it is determined that the swing angle is equal to or less than the predetermined threshold value, the accuracy evaluation program of the third embodiment outputs notification data prompting the examination and repair of the wristwatch.

Therefore, even if the wristwatch itself does not have a function of evaluating and notifying the accuracy of the time displayed by the wristwatch, the accuracy evaluation program of the third embodiment can evaluate the accuracy of the time displayed by the wristwatch and notify the appropriate repair check content and timing. Therefore, the accuracy evaluation program can continue to use a wristwatch such as a mechanical wristwatch that the user has previously liked to use, and can evaluate and notify the accuracy of the time displayed by the wristwatch.

In addition, the third embodiment is described by taking the following example: the accuracy evaluation function calculates the swing angle of the balance and determines whether or not to output the notification data based on the swing angle, but is not limited to this. For example, the accuracy evaluation function may calculate swing angles at different timings, and determine whether to output notification data based on statistical values (for example, an average value, a maximum value, and a minimum value) of the plurality of swing angles.

[ fourth embodiment ]

The accuracy evaluation program according to the fourth embodiment will be described with reference to fig. 12. The accuracy evaluation function and the notification data output function of the accuracy evaluation program of the fourth embodiment are different from the three accuracy evaluation programs described above. Therefore, in the fourth embodiment, the accuracy evaluation function and the notification data are mainly described, and the description of the same contents as those of the above three embodiments is appropriately omitted.

Fig. 12 is a diagram showing an example of the swing angle calculated by the wristwatch band of the fourth embodiment. Fig. 12 shows an example of the balance oscillation angle calculated every 24 hours by the accuracy evaluation function. The period T41 and the period T42 shown in fig. 12 are examples of periods in which the balance angle of the wristwatch is within the normal range. The period T40 shown in fig. 12 is an example of a period in which the rate of difference deviates from the predetermined range due to an excessively large swing angle of the balance wheel of the wristwatch. The phenomenon of excessive balance angle is also called overtravel (vibration り when たり). For example, as shown in fig. 12, the accuracy evaluation function calculates the roll angle for each set timing based on time sound data indicating a time sound generated at the timing.

The accuracy evaluation function then determines whether or not the pivot angle exceeds a predetermined threshold. For example, the accuracy evaluation function determines whether or not the swing angle exceeds a threshold value (for example, 360 degrees) shown by a broken line Th4 shown in fig. 12. In this case, the pivot angle does not exceed 360 degrees in the period T41 and the period T42 shown in fig. 12, but exceeds 360 degrees in the period T40 shown in fig. 12. Therefore, in this case, the accuracy evaluation function determines that the pivot angle exceeds a predetermined threshold value.

When it is determined in the accuracy evaluation processing that the pivot angle exceeds the predetermined threshold, the notification data output function outputs notification data indicating that the over travel has occurred.

Next, an example of processing performed by the wristwatch band of the fourth embodiment will be described with reference to fig. 13. Fig. 13 is a flowchart showing an example of processing performed by the wristwatch band of the fourth embodiment.

In step S41, the wristwatch band acquires time sound data indicating a time sound of the wristwatch with a time sound data acquisition function.

In step S42, the watch band calculates the balance angle of the watch from the time sound of the watch by the accuracy evaluation function.

In step S43, the watch band determines whether or not the pivot angle calculated in step S42 exceeds a predetermined threshold value by the accuracy evaluation function. If it is determined that the pivot angle calculated in step S42 exceeds the predetermined threshold value (yes in step S43), the wristwatch band proceeds to step S44, and if it is determined that the pivot angle calculated in step S42 is equal to or less than the predetermined threshold value (no in step S43), the wristwatch band returns to step S41.

In step S44, when it is determined that the calculated pivot angle exceeds the predetermined threshold value, the wristwatch band outputs notification data indicating that the over travel has occurred, by the notification data output function.

The accuracy evaluation program according to the fourth embodiment is explained above. The accuracy evaluation program according to the fourth embodiment calculates the pivot angle of the balance wheel included in the wristwatch based on the time sound collected by the sensor mounted on the wristwatch band within a predetermined time. When it is determined that the pivot angle exceeds the predetermined threshold value, the accuracy evaluation program of the fourth embodiment calculates the difference rate of the wristwatch from the time sound of the wristwatch and outputs notification data indicating that the difference rate is out of the predetermined range.

Therefore, even if the wristwatch itself does not have a function of evaluating and notifying the accuracy of the time displayed by the wristwatch, the accuracy evaluation program of the fourth embodiment can evaluate the accuracy of the time displayed by the wristwatch and notify the appropriate repair check content and timing. Therefore, the accuracy evaluation program can continue to use a wristwatch such as a mechanical wristwatch that the user has previously liked to use, and can evaluate and notify the accuracy of the time displayed by the wristwatch.

In the fourth embodiment, the following example is used for explanation: the accuracy evaluation function calculates the swing angle of the balance and determines whether or not to output the notification data based on the swing angle, but is not limited to this. For example, the accuracy evaluation function may calculate the pivot angles at different timings, and determine whether to output the notification data based on statistical values (for example, an average value and a maximum value) of the plurality of pivot angles.

[ fifth embodiment ]

The accuracy evaluation program according to the fifth embodiment will be described with reference to fig. 14. The accuracy evaluation function and the notification data output function of the accuracy evaluation program of the fifth embodiment are different from those of the above-described four accuracy evaluation programs. Therefore, in the fifth embodiment, the accuracy evaluation function and the notification data are mainly described, and the description of the same contents as those of the above-described four embodiments is appropriately omitted.

The accuracy evaluation function calculates the swing angle of a balance wheel of the wristwatch based on the time sound of the wristwatch. Next, the accuracy evaluation function calculates an accumulated non-portable time, which is obtained by accumulating non-portable time in which the swing angle is changed within a predetermined period of time within a predetermined range of change or less, and which indicates a time during which the wristwatch is not carried. The predetermined period mentioned here is, for example, several seconds to several minutes. The predetermined range of variation referred to herein is, for example, 20 degrees to 30 degrees.

Fig. 14 is a diagram showing an example of the swing angle in the case of the flat posture and the swing angle in the case of the standing posture calculated by the wristwatch band of the fifth embodiment. The balance angle varies between the flat position and the upright position of the watch. The flat posture means a posture in which a plane parallel to the dial of the wristwatch is perpendicular to the direction of gravity. In the case of a flat posture of the wristwatch, the weight force exerted on the balance spring is small, and therefore the swing angle tends to become relatively large. On the other hand, the standing posture is a posture in which a plane parallel to the dial of the watch is parallel to the direction of gravity. When the wristwatch is in the upright position, the weight force exerted on the balance spring increases, and therefore the swing angle tends to become relatively small. The predetermined fluctuation range is the predetermined time Th5 shown in fig. 14, for example, 20 degrees to 30 degrees. In addition, the balance spring is incorporated into the balance, and affects the accuracy of the time shown by the watch 100.

When the wristwatch is carried by the user, the wristwatch alternately assumes a flat posture and a standing posture for several seconds to several minutes, and the range of fluctuation of the swing angle increases, and therefore it is determined that the wristwatch is carried. On the other hand, when the wristwatch is not carried by the user, the wristwatch takes a flat or upright posture for a long time, and the range of fluctuation of the pivot angle decreases, and therefore it is determined that the wristwatch is not carried.

The accuracy evaluation function then determines whether the accumulated non-portable time exceeds the duration of the watch. The duration referred to herein is the time from the complete winding of the power spring to the complete unwinding of the power spring.

When the accumulated non-carrying time is determined to exceed the duration of the watch in the accuracy evaluation processing, the notification data output function outputs notification data urging the power spring of the watch to be wound.

Next, an example of processing performed by the wristwatch band of the fifth embodiment will be described with reference to fig. 14. Fig. 14 is a flowchart showing an example of processing performed by the wristwatch band of the fifth embodiment.

In step S51, the wristwatch band acquires time sound data indicating a time sound of the wristwatch with a time sound data acquisition function.

In step S52, the watch band calculates the roll angle of the balance of the watch from the time sound of the watch by the accuracy evaluation function, and calculates the cumulative non-carrying time obtained by summing up the non-carrying time, which is the time during which the roll angle fluctuates within a predetermined period of time at or below a predetermined fluctuation range and indicates the time during which the watch is not carried.

In step S53, the wristwatch band determines whether or not the cumulative non-carrying time calculated in step S52 exceeds the duration of the wristwatch by the accuracy evaluation function. If it is determined that the cumulative non-portable time calculated in step S52 exceeds the duration of the wristwatch (yes in step S53), the wristwatch band advances the process to step S54, and if it is determined that the cumulative non-portable time calculated in step S52 is equal to or less than the duration of the wristwatch (no in step S53), the process returns to step S51.

In step S54, the wristwatch band outputs notification data urging the power spring of the wristwatch to be wound up, by the notification data output function.

The accuracy evaluation program according to the fifth embodiment has been described above. The accuracy evaluation program according to the fifth embodiment calculates the roll angle of the balance of the wristwatch based on the time sound of the wristwatch, and calculates the cumulative non-portable time obtained by accumulating the non-portable time in which the roll angle fluctuates within a predetermined period of time at or below a predetermined fluctuation range, the cumulative non-portable time indicating the time during which the wristwatch is not being carried. When the accumulated non-carrying time is determined to exceed the duration of the wristwatch, the accuracy evaluation program outputs notification data urging the power spring of the wristwatch to be wound up.

Therefore, even if the wristwatch itself does not have a function of evaluating and notifying the accuracy of the time displayed by the wristwatch, the accuracy evaluation program of the fifth embodiment can evaluate the accuracy of the time displayed by the wristwatch and notify the content and timing of the appropriate repair check. Therefore, the accuracy evaluation program can continue to use a wristwatch such as a mechanical wristwatch that the user has previously liked to use, and can evaluate and notify the accuracy of the time displayed by the wristwatch.

[ sixth embodiment ]

A precision evaluation program according to a sixth embodiment will be described. The accuracy evaluation function and the notification data output function of the accuracy evaluation program of the sixth embodiment are different from the five accuracy evaluation programs described above. Therefore, in the sixth embodiment, the accuracy evaluation function and the notification data are mainly described, and the description of the same contents as those of the above-described five embodiments is appropriately omitted.

The accuracy evaluation function calculates the swing angle of a balance wheel of the wristwatch based on the time sound of the wristwatch. Next, the accuracy evaluation function calculates an accumulated portable time obtained by accumulating the portable time in which the pivot angle is changed to exceed a predetermined change range within a predetermined period. The predetermined period mentioned here is, for example, several seconds to several minutes. The predetermined range of variation referred to herein is, for example, 20 degrees to 30 degrees.

The accuracy evaluation function then determines whether or not the time obtained by multiplying a predetermined coefficient, which takes into account the body temperature of the user carrying the wristwatch, by the integrated carrying time exceeds a predetermined time. The coefficient referred to herein is a coefficient determined in consideration of the following phenomenon: the lubricating oil applied to the components of the movement of the watch is heated by the body temperature of the user carrying the watch and deteriorates. When the lubricant is deteriorated, the resistance of the movement during operation increases, and therefore the accuracy of the time displayed by the wristwatch may decrease.

When it is determined in the accuracy evaluation processing that the time obtained by multiplying the cumulative carrying time by a predetermined coefficient exceeds a predetermined time, the notification data output function outputs notification data urging the examination and repair of the wristwatch.

Next, an example of processing performed by the wristwatch band of the sixth embodiment will be described with reference to fig. 16. Fig. 16 is a flowchart showing an example of processing performed by the wristwatch band of the sixth embodiment.

In step S61, the wristwatch band acquires time sound data indicating a time sound of the wristwatch with a time sound data acquisition function.

In step S62, the watch band calculates the pivot angle of the balance of the watch from the time sound of the watch by the accuracy evaluation function, and calculates the cumulative portable time obtained by accumulating the portable time in which the pivot angle fluctuates so as to exceed the predetermined fluctuation range within the predetermined period.

In step S63, the watch band determines, by the accuracy evaluation function: whether or not the time obtained by multiplying the cumulative carried time calculated in step S62 by a predetermined coefficient in consideration of the body temperature of the user carrying the wristwatch exceeds a predetermined time. When it is determined that the time obtained by multiplying the cumulative carried time calculated in step S62 by the predetermined coefficient exceeds the predetermined time (yes in step S63), the wristwatch band proceeds to step S64, and when it is determined that the time obtained by multiplying the cumulative carried time calculated in step S62 by the predetermined coefficient is equal to or less than the predetermined time (no in step S63), the wristwatch band returns to step S61.

In step S64, the wristwatch band outputs notification data urging the watch to be repaired or overhauled by the notification data output function.

The accuracy evaluation program according to the sixth embodiment is explained above. In the accuracy evaluation process, the accuracy evaluation program according to the sixth embodiment calculates the pivot angle of the balance provided in the wristwatch from the time sound of the wristwatch, and calculates the cumulative portable time obtained by integrating the portable time in which the pivot angle fluctuates to exceed a predetermined fluctuation range within a predetermined period. When it is determined that the time obtained by multiplying the cumulative carrying time by a predetermined coefficient exceeds a predetermined time, the accuracy evaluation program outputs notification data urging the examination and repair of the wristwatch.

Therefore, even if the wristwatch itself does not have a function of evaluating and notifying the accuracy of the time displayed by the wristwatch, the accuracy evaluation program according to the sixth embodiment can evaluate the accuracy of the time displayed by the wristwatch and notify the appropriate repair check content and timing. Therefore, the accuracy evaluation program can continue to use a wristwatch such as a mechanical wristwatch that the user has previously liked to use, and can evaluate and notify the accuracy of the time displayed by the wristwatch.

[ seventh embodiment ]

A precision evaluation program according to a seventh embodiment will be described with reference to fig. 17. The accuracy evaluation function and the notification data output function of the accuracy evaluation program of the seventh embodiment are different from the six accuracy evaluation programs described above. Therefore, in the seventh embodiment, the accuracy evaluation function and the notification data are mainly described, and the description of the same contents as those of the above six embodiments is appropriately omitted.

The accuracy evaluation function calculates a difference rate of a balance wheel of the wristwatch based on a time sound of the wristwatch. Specifically, the accuracy evaluation function calculates a difference rate of the wristwatch for a predetermined time. The predetermined time here is a time set at an arbitrary timing within a predetermined period, and may be a periodic timing or an aperiodic timing. When the predetermined time is set at periodic timing, the period is, for example, 24 hours.

Fig. 17 is a diagram showing an example of the difference rate calculated by the wristwatch band of the seventh embodiment. Fig. 17 shows an example of the difference rate of the wristwatch calculated by the accuracy evaluation function every 24 hours.

The accuracy evaluation function determines whether or not the amount of change in the difference rate exceeds a predetermined threshold. For example, as shown in fig. 17, the accuracy evaluation function calculates the difference rate shown by the broken line D71, then calculates the difference rate shown by the broken line D72, and determines whether or not the difference V7 between the two difference rates exceeds a predetermined threshold.

When it is determined that the amount of change in the difference rate exceeds a predetermined threshold, the notification data output function outputs notification data that urges demagnetization or repair of the wristwatch. This is because, when the difference of the watch is greatly increased or decreased and the increased or decreased difference is maintained, the parts constituting the movement of the watch are often damaged or magnetized by an external magnetic field.

Next, an example of processing performed by the wristwatch band of the seventh embodiment will be described with reference to fig. 18. Fig. 18 is a flowchart showing an example of processing performed by the wristwatch band of the seventh embodiment.

In step S71, the wristwatch band acquires time sound data indicating a time sound of the wristwatch with a time sound data acquisition function.

In step S72, the watch band passes through the accuracy evaluation function, and calculates the difference rate of the watch from the time sound of the watch.

In step S73, the watch band determines whether or not the amount of change in the difference rate calculated in step S72 exceeds a predetermined threshold value by the accuracy evaluation function. If it is determined that the amount of change in the difference rate calculated in step S72 exceeds the predetermined threshold value (yes in step S73), the wristwatch band advances the process to step S74, and if it is determined that the amount of change in the difference rate calculated in step S72 is equal to or less than the predetermined threshold value (no in step S73), the process returns to step S71.

In step S74, the wristwatch band outputs notification data that urges demagnetization or repair of the wristwatch by the notification data output function.

The accuracy evaluation program according to the seventh embodiment has been described above. The accuracy evaluation program according to the seventh embodiment calculates the difference rate of the wristwatch for a predetermined period of time from the time sound of the wristwatch. When it is determined that the amount of change in the difference rate exceeds a predetermined threshold, the accuracy evaluation program outputs notification data that urges demagnetization or repair of the wristwatch.

Therefore, even if the wristwatch itself does not have a function of evaluating and notifying the accuracy of the time displayed by the wristwatch, the accuracy evaluation program of the seventh embodiment can evaluate the accuracy of the time displayed by the wristwatch and notify the appropriate repair check content and timing. Therefore, the accuracy evaluation program can continue to use a wristwatch such as a mechanical wristwatch that the user has previously liked to use, and can evaluate and notify the accuracy of the time displayed by the wristwatch.

[ eighth embodiment ]

A state evaluation routine of the eighth embodiment will be described with reference to fig. 19 to 21. In the eighth embodiment, the description of the same contents as those of the seven embodiments is appropriately omitted.

Fig. 19 is a diagram showing an example of a state evaluation program executed by the CPU in the eighth embodiment. As shown in fig. 19, the state evaluation program 365 has a state data acquisition function 366, a state evaluation function 367, and a notification data output function 368.

The state data acquisition function 366 acquires state data indicating the state of the wristwatch, which is collected by a sensor mounted on a wristwatch strap attached to the wristwatch. Specifically, the state data acquisition function 366 includes a posture data acquisition function and a time and sound data acquisition function.

The posture data acquisition function acquires posture data representing the posture of the watch collected by the sensor. In this case, the sensor includes an acceleration sensor. The posture data is data indicating a posture of the wristwatch determined based on an acceleration of the wristwatch measured by the acceleration sensor for a predetermined period of time. The posture data may be data indicating a posture of the wristwatch specified based on a statistical value of acceleration of the wristwatch measured by the acceleration sensor for a predetermined period of time. The statistical values referred to herein are, for example, the maximum value, the minimum value, the average value, and the median value.

Fig. 20 is a diagram showing an example of the tendency of the posture of the wristwatch evaluated from the posture data in the wristwatch band of the eighth embodiment. In fig. 20, the horizontal axis represents the posture of the wristwatch, and the vertical axis represents the frequency of each posture of the wristwatch.

The "dial on" shown in fig. 20 indicates a posture in which the dial of the wristwatch faces in a direction opposite to the direction of gravity. The "dial-down" shown in fig. 20 indicates a posture of the dial of the wristwatch toward the direction of gravity. "3 dots on", "6 dots on", "9 dots on", and "12 dots on" shown in fig. 20 represent the following postures, respectively: the hour number directions of the 3 o 'clock, 6 o' clock, 9 o 'clock and 12 o' clock in the dial face from the point supporting the hour hand and the like are opposite to the gravity direction. The frequency shown in fig. 20 is a value obtained by summing the posture data in accordance with the posture of the corresponding wristwatch.

The time sound data acquisition function acquires time sound data representing a time sound of the watch collected by the sensor.

The state evaluation function 367 performs state evaluation processing for evaluating the state of the watch from the state data. Specifically, the state evaluation function 367 evaluates the tendency of the posture of the wristwatch from the posture data, and calculates the difference rate of the wristwatch from the time sound indicated by the time sound data.

When a predetermined condition is satisfied in the state evaluation processing, the notification data output function 368 outputs notification data indicating at least one of the result of the state evaluation processing and the repair check content based on the result. Specifically, when it is determined that the difference rate of the wristwatch is out of the predetermined range, the notification data output function 368 outputs notification data urging the wristwatch to be examined and repaired in accordance with the tendency of the posture of the wristwatch shown in fig. 20.

Fig. 21 is a diagram showing an example of the relationship among the posture of the wristwatch shown in the posture data of the eighth embodiment, the difference rate calculated based on the time-sound data, and the difference rate to be adjusted at the time of inspection. The first, second, and third columns in fig. 21 show the posture of the wristwatch indicated by the posture data, the difference rate of the wristwatch calculated based on the time and sound data, and the difference rate to be adjusted during maintenance.

For example, as shown in fig. 20, when the frequency of the posture of "6 o' clock" is higher than the frequencies of the postures of the other times and the difference rate calculated based on the time-sound data is "-4" as shown in the fifth row and the second column of fig. 21, the notification data output function 368 outputs such notification data: which urges the difference rate to be adjusted to "+ 5" at the time of maintenance. This makes it possible to cancel out the negative error rate due to the tendency of the posture and the positive error rate due to the inspection, and thus the wristwatch can display a more accurate time.

Next, an example of processing performed by the wristwatch band of the eighth embodiment will be described with reference to fig. 22. Fig. 22 is a flowchart showing an example of processing performed by the wristwatch band of the eighth embodiment.

In step S81, the state data acquisition function 366 acquires posture data indicating the posture of the wristwatch.

In step S82, the state evaluation function 367 evaluates the tendency of the posture of the wristwatch indicated by the posture data.

In step S83, the state data acquisition function 366 acquires time sound data indicating the time sound of the wristwatch.

In step S84, the state evaluation function 367 calculates the difference rate of the wristwatch from the time sound of the wristwatch indicated by the time sound data.

In step S85, the state evaluation function 367 determines whether or not the difference rate calculated in step S84 is out of a predetermined range. If it is determined that the difference rate calculated in step S84 is out of the predetermined range (yes in step S85), the state evaluation function 367 advances the process to step S86. On the other hand, when determining that the difference rate calculated in step S84 falls within the predetermined range (no in step S85), state evaluation function 367 returns the process to step S81.

In step S86, the notification data output function 368 outputs notification data urging the maintenance of the wristwatch in accordance with the tendency of the posture of the wristwatch evaluated in step S82.

The state evaluation program according to the eighth embodiment is explained above. The state evaluation program evaluates the tendency of the posture of the wristwatch based on the posture data, calculates the difference rate of the wristwatch based on the time sound indicated by the time sound data, and determines whether the difference rate of the wristwatch deviates from a predetermined range. When the difference rate of the wristwatch is determined to be outside the predetermined range, the state evaluation program outputs notification data urging the wristwatch to be inspected, in accordance with the tendency of the posture of the wristwatch. Thus, the state evaluation program can evaluate the posture and the difference rate of the wristwatch and notify appropriate repair and inspection contents based on the difference rate.

[ ninth embodiment ]

A state evaluation routine of the ninth embodiment will be described with reference to fig. 23. In the ninth embodiment, the description of the same contents as those of the eight embodiments is omitted as appropriate. The state evaluation program has a state data acquisition function, a state evaluation function, and a notification data output function.

The state data acquisition function acquires state data indicating the state of the wristwatch, which is collected by a sensor mounted on a wristwatch strap attached to the wristwatch. Specifically, the state data acquisition function includes an acceleration data acquisition function and a time sound data acquisition function.

The acceleration data acquisition function acquires acceleration data representing acceleration of the wristwatch collected by the sensor. In this case, the sensor includes an acceleration sensor. Fig. 23 is a diagram showing an example of the acceleration of the wristwatch shown in the acceleration data of the ninth embodiment. The acceleration data is, for example, data representing a temporal change in acceleration of the wristwatch as shown in fig. 23. The acceleration data may be data indicating the acceleration of the wristwatch measured over a predetermined period of time or a statistical value thereof, instead of data indicating the temporal change in the acceleration of the wristwatch. The statistical values referred to herein are, for example, a maximum value, a minimum value, an average value, and a median value.

The state evaluation function determines whether or not the following is the case: the acceleration indicated by the acceleration data exceeds a predetermined threshold, and the difference rate of the wristwatch calculated from the time-sound data deviates from a predetermined range. The predetermined threshold value relating to the acceleration is, for example, a threshold value indicated by a broken line Th9 shown in fig. 23, and is used to determine whether or not the acceleration of the wristwatch increases due to dropping or the like. When a wristwatch is used as usual, the acceleration of the wristwatch is about several G to several tens G, and when a wristwatch falls down or the like, the acceleration of the wristwatch is several thousands G to several tens of thousands G. Therefore, the predetermined threshold value for the determination can be set relatively easily.

When it is determined that the acceleration indicated by the acceleration data exceeds a predetermined threshold and the difference rate of the wristwatch calculated from the time-sound data is out of a predetermined range, the notification data output function outputs notification data urging the maintenance of the wristwatch.

Next, an example of processing performed by the wristwatch band of the ninth embodiment will be described with reference to fig. 24. Fig. 24 is a flowchart showing an example of processing performed by the wristwatch band of the ninth embodiment.

In step S91, the state data acquisition function acquires acceleration data indicating the acceleration of the wristwatch.

In step S92, the state data acquisition function acquires time sound data indicating the time sound of the wristwatch.

In step S93, the state evaluation function calculates the difference rate of the wristwatch from the time sound of the wristwatch indicated by the time sound data acquired in step S92.

In step S94, the state evaluation function determines whether or not the acceleration acquired in step S91 exceeds a predetermined threshold. If it is determined that the acceleration obtained in step S91 exceeds the predetermined threshold value (yes in step S94), the state evaluation function advances the process to step S95. On the other hand, if it is determined that the acceleration obtained in step S91 is equal to or less than the predetermined threshold (no in step S94), the state evaluation function returns the process to step S91.

In step S95, the state evaluation function determines whether the difference rate of the wristwatch calculated in step S93 is outside a predetermined range. If it is determined that the difference rate of the wristwatch calculated in step S93 is outside the predetermined range (yes in step S95), the state evaluation function advances the process to step S96. On the other hand, if it is determined that the difference of the wristwatch calculated in step S93 falls within the predetermined range (no in step S95), the state evaluation function returns the process to step S91.

In step S96, the notification data output function outputs notification data that urges the watch to be repaired.

The state evaluation program of the ninth embodiment is explained above. When it is determined that the acceleration indicated by the acceleration data exceeds a predetermined threshold and the difference rate of the wristwatch calculated from the time-sound data is out of a predetermined range, the state evaluation program outputs notification data urging the maintenance of the wristwatch. Thus, the state evaluation program can evaluate the acceleration and the difference rate of the wristwatch and notify appropriate repair inspection contents based on the acceleration and the difference rate.

[ tenth embodiment ]

A state evaluation routine of the tenth embodiment will be described with reference to fig. 25 and 26. In the tenth embodiment, the description of the same contents as those of the nine embodiments is appropriately omitted. The wristwatch according to the tenth embodiment further includes a rotary weight for automatically winding up the power spring. The state evaluation program has a state data acquisition function, a state evaluation function, and a notification data output function.

The state data acquisition function acquires angular velocity frequency data collected by the sensor. In this case, the sensor includes a gyro sensor.

The angular velocity frequency data is data indicating the frequency of the angular velocity applied to the wristwatch in at least two angular velocity ranges. The angular velocity applied to the wristwatch is measured by a gyro sensor for a predetermined period of time, for example. The angular velocity indicated by the angular velocity frequency data may be an angular velocity measured by a gyro sensor or a statistical value of the angular velocity. The statistical values referred to herein are, for example, the maximum value, the minimum value, the average value, and the median value.

Fig. 25 and 26 are each a diagram showing an example of the frequency of the angular velocity shown in the angular velocity frequency data of the tenth embodiment. Fig. 25 shows an example of the frequency of the angular velocity applied to the wristwatch carried by the user with a relatively small arm swing. On the other hand, fig. 26 shows an example of the frequency of the angular velocity applied to the wristwatch carried by the user with a relatively large arm swing. FIGS. 25 and 26 each show, in a histogram, the frequency of angular velocity applied to the watch in each range of 0 to 25, 26 to 50, …, 226 to 250.

When the wristwatch is carried by a user with relatively small arm swing, as shown in fig. 25, for example, the frequency indicating a value of 100 or less is high, and the frequency indicating a value exceeding 100 is low. Further, when the angular velocity applied to the wristwatch is small, it is difficult to facilitate the rotation of the rotary weight, and therefore it is difficult to wind up the power spring of the wristwatch.

On the other hand, when the wristwatch is carried by a user with a relatively large arm swing, as shown in fig. 26, for example, the frequency indicating a value of 100 or less is high to the same extent as in the case shown in fig. 25, and the frequency indicating a value exceeding 100 is also high to the same extent as the frequency indicating a value of 100 or less. Further, when the angular velocity applied to the wristwatch is large, the rotation of the rotary weight is easily promoted, and therefore, the power spring of the wristwatch is easily wound up.

And (3) judging a state evaluation function: the angular velocity frequency data indicates whether or not a frequency within a range in which the angular velocity exceeds a predetermined threshold. Specifically, the state evaluation function determines: whether at least a portion of the angular velocity indicated by the angular velocity frequency data exceeds a prescribed threshold. The predetermined threshold is, for example, a threshold indicated by a broken line Th101 shown in fig. 25 and 26. Then, the state evaluation function determines whether or not at least a part of the frequencies indicated by the angular velocity frequency data exceeds a predetermined threshold. The predetermined threshold value is, for example, a threshold value indicated by a broken line Th102 shown in fig. 25 and 26.

When it is determined that the frequency in the range in which the angular velocity indicated by the angular velocity frequency data exceeds the predetermined threshold, the notification data output function outputs notification data indicating that the power spring of the wristwatch has been wound. When it is not determined that the frequency in the range in which the angular velocity indicated by the angular velocity frequency data exceeds the predetermined threshold, the notification data output function outputs notification data urging winding of the power spring of the wristwatch.

Next, an example of processing performed by the wristwatch band of the tenth embodiment will be described with reference to fig. 27. Fig. 27 is a flowchart showing an example of processing performed by the wristwatch band of the tenth embodiment.

In step S101, the state data acquisition function acquires angular velocity frequency data indicating the frequency of the angular velocity applied to the watch for at least two angular velocity ranges.

In step S102, the state evaluation function determines whether or not at least a part of the angular velocity indicated by the angular velocity frequency data acquired in step S101 exceeds a predetermined threshold. If it is determined that at least a part of the angular velocity indicated by the angular velocity frequency data acquired in step S101 exceeds the predetermined threshold value (yes in step S102), the state evaluation function advances the process to step S103. On the other hand, if it is determined that at least a part of the angular velocity indicated by the angular velocity frequency data acquired in step S101 is equal to or less than the predetermined threshold value (no in step S102), the state evaluation function advances the process to step S105.

In step S103, the state evaluation function determines whether or not at least a part of the frequencies indicated by the angular velocity frequency data acquired in step S102 exceeds a predetermined threshold. If it is determined that at least a part of the frequencies indicated by the angular velocity frequency data acquired in step S102 exceeds the predetermined threshold value (yes in step S103), the state evaluation function advances the process to step S104. On the other hand, if it is determined that at least a part of the frequencies indicated by the angular velocity frequency data acquired in step S102 is equal to or less than the predetermined threshold value (no in step S103), the state evaluation function advances the process to step S105.

In step S104, the notification data output function outputs notification data indicating that the power spring of the wristwatch has been wound up.

In step S105, the notification data output function outputs notification data that promotes winding up of the power spring of the wristwatch.

The state evaluation program according to the tenth embodiment is explained above. When it is determined that the frequency in the range in which the angular velocity indicated by the angular velocity frequency data exceeds the predetermined threshold, the state evaluation program outputs notification data indicating that the power spring of the wristwatch has been wound up. Thus, when it can be evaluated that the rotary hammer is sufficiently rotated and the power spring is sufficiently wound based on the angular velocity and the difference applied to the wristwatch, the state evaluation program can notify the power spring of the sufficient winding.

On the other hand, when it is not determined that the frequency in the range in which the angular velocity indicated by the angular velocity frequency data exceeds the predetermined threshold, the state evaluation program outputs notification data urging winding of the power spring of the wristwatch. Thus, when it can be determined from the angular velocity and the difference rate applied to the wristwatch that the rotary hammer is not sufficiently rotated and the power spring is not sufficiently wound, the state evaluation program can issue a notification to wind the power spring.

[ eleventh embodiment ]

A state evaluation routine of the eleventh embodiment will be described with reference to fig. 28 and 29. In the eleventh embodiment, the description of the same contents as those of the above ten embodiments is appropriately omitted. The state evaluation program has a state data acquisition function, a state evaluation function, and a notification data output function.

The state data acquisition function acquires state data indicating the state of the wristwatch, which is collected by a sensor mounted on a wristwatch strap attached to the wristwatch. Specifically, the state data acquisition function includes a temperature data acquisition function and a time sound data acquisition function.

The temperature data acquisition function acquires temperature data representing the temperature of the watch collected by the sensor. In this case, the sensor includes a temperature sensor. The temperature data is data indicating the temperature of the wristwatch measured by the temperature sensor for a predetermined period of time or a statistical value thereof. The statistical values referred to herein are, for example, the maximum value, the minimum value, the average value, and the median value.

Fig. 28 is a diagram showing an example of the frequency of the temperature of the wristwatch shown in the temperature data of the eleventh embodiment. FIG. 28 is a bar chart showing the frequency of temperature of the wristwatch in each of the ranges of 0 to 9 degrees, 10 to 19 degrees, 20 to 29 degrees, 30 to 39 degrees, and 40 to 49 degrees. Fig. 28 shows that the frequency when the temperature of the wristwatch is 30 to 39 degrees is higher than the frequency when the temperature of the wristwatch is other temperatures.

The state evaluation function determines whether the difference rate of the wristwatch calculated from the time sound data is outside a predetermined range at the temperature indicated by the temperature data. Fig. 29 is a diagram showing an example of the relationship between the temperature of the wristwatch indicated by the temperature data of the eleventh embodiment and the difference rate of the wristwatch calculated based on the time-sound data. In fig. 29, the abscissa indicates the temperature of the wristwatch indicated by the temperature data, and the ordinate indicates the difference rate of the wristwatch calculated based on the time-sound data. For example, the temperature indicated by the temperature data is the temperature in the range indicated by the arrow a111 on the straight line L111 shown in fig. 29, and it is determined whether or not the difference rate of the wristwatch calculated based on the time and sound data is out of the range indicated by the arrow a112 shown in fig. 29.

When the difference rate of the wristwatch calculated from the time sound data is determined to be outside a predetermined range at the temperature indicated by the temperature data, the notification data output function outputs notification data urging the wristwatch to be inspected. For example, when the temperature is in the range indicated by the arrow a111 on the straight line shown in fig. 29 and the difference rate is determined to be out of the range indicated by the arrow a112 shown in fig. 29, the notification data output function outputs notification data that urges the difference rate in the range indicated by the arrow a111 shown in fig. 29 to be as close to zero as possible. That is, in such a case, the notification data output function outputs notification data of: the notification data causes the relationship between the temperature indicated by the temperature data and the difference rate calculated based on the time-sound data to approach the straight line L112 shown in fig. 29 as much as possible.

Next, an example of processing performed by the wristwatch band of the eleventh embodiment will be described with reference to fig. 30. Fig. 30 is a flowchart showing an example of processing performed by the wristwatch band of the eleventh embodiment.

In step S111, the state data acquisition function acquires temperature data indicating the temperature of the watch.

In step S112, the state data acquisition function acquires time sound data indicating a time sound of the watch.

In step S113, the state evaluation function calculates the difference rate of the wristwatch from the time sound of the wristwatch indicated by the time sound data acquired in step S112.

In step S114, the state evaluation function determines whether or not the difference rate of the wristwatch calculated in step S113 is out of the predetermined range at the temperature indicated by the temperature data acquired in step S111. If it is determined that the difference rate of the wristwatch calculated in step S113 is outside the predetermined range at the temperature indicated by the temperature data acquired in step S111 (yes in step S114), the state evaluation function advances the process to step S115. On the other hand, if it is determined that the difference of the wristwatch calculated in step S113 falls within the predetermined range at the temperature indicated by the temperature data acquired in step S111 (no in step S114), the state evaluation function returns the process to step S111.

In step S115, the notification data output function outputs notification data that urges the watch to be inspected.

The state evaluation program according to the eleventh embodiment is explained above. When the difference rate of the wristwatch calculated from the time sound data is determined to be outside a predetermined range at the temperature indicated by the temperature data, the state evaluation program outputs notification data urging the wristwatch to be inspected. Thus, the state evaluation program can evaluate the temperature and the difference rate of the wristwatch and notify appropriate repair inspection contents based on the temperature and the difference rate.

[ twelfth embodiment ]

A state evaluation program according to a twelfth embodiment will be described with reference to fig. 31. In the twelfth embodiment, the description of the same contents as those of the eleventh embodiment is appropriately omitted. The state evaluation program has a state data acquisition function, a state evaluation function, and a notification data output function.

The state data acquisition function is a temperature data acquisition function that acquires temperature data indicating a temporal change in temperature of the watch collected by the sensor. In this case, the sensor includes a temperature sensor. Fig. 31 is a diagram showing an example of a temporal change in temperature of the wristwatch shown in the temperature data of the twelfth embodiment. In fig. 31, the horizontal axis represents time, and the vertical axis represents temperature of the watch.

The state evaluation function calculates the cumulative time during which the watch is not carried by the user, that is, the cumulative non-carrying time, by summing up the times during which the temperature indicated by the temperature data is lower than the predetermined threshold value. Then, the state evaluation function determines whether or not the cumulative non-portable time exceeds a predetermined threshold. For example, the state evaluating function adds the time during which the temperature shown by the temperature data is lower than the threshold shown by the broken line Th121 shown in fig. 31 to the integrated non-carrying time.

When the cumulative non-carrying time is determined to exceed a predetermined threshold, the notification data output function outputs notification data urging the power spring of the wristwatch to be wound up.

Next, an example of processing performed by the wristwatch band of the twelfth embodiment will be described with reference to fig. 32. Fig. 32 is a flowchart showing an example of processing performed by the wristwatch band of the twelfth embodiment.

In step S121, the state data acquisition function acquires temperature data indicating a temporal change in the temperature of the wristwatch.

In step S122, the state evaluation function calculates the cumulative non-carrying time, which is the cumulative time during which the watch is not carried by the user, by cumulatively adding up the times during which the temperature indicated by the temperature data is lower than the predetermined threshold.

In step S123, the state evaluation function determines whether or not the cumulative non-portable time calculated in step S122 exceeds a predetermined threshold. If it is determined that the cumulative non-portable time calculated in step S122 exceeds the predetermined threshold (yes in step S123), the state evaluation function advances the process to step S124. On the other hand, if it is determined that the cumulative non-portable time calculated in step S122 is equal to or less than the predetermined threshold (no in step S123), the state evaluation function returns the process to step S121.

In step S124, the notification data output function outputs notification data that urges the power spring of the wristwatch to be wound up.

The state evaluation program according to the twelfth embodiment is explained above. When the accumulated non-carrying time is determined to exceed a predetermined threshold, the state evaluation program outputs notification data urging the power spring of the wristwatch to be wound up. Thus, the state evaluation program can evaluate the cumulative non-portable time of the wristwatch based on the temperature of the wristwatch and notify appropriate repair check contents based on the cumulative non-portable time.

[ thirteenth embodiment ]

A state evaluation routine of the thirteenth embodiment will be described with reference to fig. 33. In the thirteenth embodiment, the description of the same contents as those of the twelve embodiments described above is appropriately omitted. The state evaluation program has a state data acquisition function, a state evaluation function, and a notification data output function.

The state data acquisition function includes a magnetic data acquisition function and a time and sound data acquisition function. The magnetic data acquisition function acquires magnetic data representing a temporal change in magnetic intensity applied to the wristwatch, which is collected by the sensor. The time sound data acquisition function acquires time sound data representing a time sound of the watch collected by the sensor. Thus, in this case, the sensor includes a magnetic sensor, and a microphone or a piezoelectric element.

Fig. 33 is a diagram showing an example of a temporal change in magnetic strength shown in the time sound data of the thirteenth embodiment. In fig. 33, the horizontal axis represents time, and the vertical axis represents the magnetic strength measured by the magnetic sensor.

The state evaluation function determines whether or not the magnetic strength indicated by the magnetic data exceeds a predetermined threshold. The predetermined threshold value is a threshold value indicated by a broken line Th131 shown in fig. 33. The state evaluation function then determines whether or not the difference rate calculated from the time sound indicated by the time sound data is outside a predetermined range.

When it is determined that the magnetic intensity indicated by the magnetic data exceeds a predetermined threshold value, the notification data output function outputs notification data that urges demagnetization of the wristwatch. When it is determined that the difference rate calculated from the time sound indicated by the time sound data is out of the predetermined range, the notification data output function outputs notification data urging the watch to be inspected.

Next, an example of processing performed by the wristwatch band of the thirteenth embodiment will be described with reference to fig. 34. Fig. 34 is a flowchart showing an example of processing performed by the wristwatch band of the thirteenth embodiment.

In step S131, the state data acquisition function acquires magnetic data indicating a temporal change in magnetic intensity applied to the wristwatch.

In step S132, the state evaluation function determines whether or not the magnetic strength indicated by the magnetic data acquired in step S131 exceeds a predetermined threshold. If it is determined that the magnetic strength indicated by the magnetic data acquired in step S131 exceeds the predetermined threshold value (yes in step S132), the state evaluation function advances the process to step S133. On the other hand, if it is determined that the magnetic strength indicated by the magnetic data acquired in step S131 is equal to or less than the predetermined threshold value (no in step S132), the state evaluation function returns the process to step S131.

In step S133, the notification data output function outputs notification data that urges demagnetization of the wristwatch.

In step S134, the state data acquisition function acquires time sound data indicating the time sound of the watch.

In step S135, the state evaluation function calculates the difference rate of the wristwatch from the time sound of the wristwatch indicated by the time sound data acquired in step S134.

In step S136, the state evaluation function determines whether or not the difference rate of the wristwatch calculated in step S135 exceeds a predetermined threshold value. If it is determined that the difference rate of the wristwatch calculated in step S135 exceeds the predetermined threshold value (yes in step S136), the state evaluation function advances the process to step S137. On the other hand, if it is determined that the difference rate of the wristwatch calculated in step S135 is equal to or less than the predetermined threshold value (no in step S136), the state evaluation function returns the process to step S131.

In step S137, the notification data output function outputs notification data urging the maintenance of the watch.

The state evaluation program according to the thirteenth embodiment is explained above. When it is determined that the magnetic intensity indicated by the magnetic data exceeds a predetermined threshold value, the state evaluation program outputs notification data for urging demagnetization of the wristwatch. Thus, the state evaluation program can evaluate the strength of the magnetism applied to the wristwatch and notify appropriate repair inspection contents based on the strength of the magnetism.

When it is determined that the difference rate calculated from the time sound indicated by the time sound data is out of the predetermined range, the state evaluation program outputs notification data urging the watch to be inspected. Thus, the state evaluation program can evaluate the difference rate of the wristwatch and notify appropriate repair inspection contents based on the difference rate.

The state evaluation program may be transmitted to another computer system via a transmission medium (e.g., a network such as the internet, or a communication line such as a telephone line).

The state evaluation program may be a program that realizes all or a part of the functions described above. Further, the program for realizing a part of the above functions may be a so-called difference program as follows: which is a program capable of realizing the above-described functions by combination with a program stored in advance in a computer system.

While the embodiments for carrying out the present invention have been described above by way of example with reference to the first to thirteenth embodiments, the present invention is not limited to these embodiments, and various modifications and substitutions can be made without departing from the spirit of the present invention.

Claims

1. A state evaluation method for realizing the following functions:

a state data acquisition function for acquiring state data representing the state of a wristwatch, which is collected by a sensor mounted on a wristwatch strap attached to the wristwatch;

a state evaluation function that executes a state evaluation process of evaluating a state of the watch based on the state data; and

and a notification data output function that outputs notification data indicating at least one of a result of the state evaluation processing and repair check content based on the result, when a predetermined condition is satisfied in the state evaluation processing.

2. The state evaluation method according to claim 1,

the state data acquisition function is a time and sound data acquisition function that: acquiring time sound data representing a time sound of the wristwatch collected by the sensor within a predetermined time,

the state evaluation function is a precision evaluation function as follows: and executing precision evaluation processing for evaluating precision of the time displayed by the watch according to the time sound data.

3. The state evaluation method according to claim 2,

the accuracy evaluation function is a function of: in the accuracy evaluation processing, the time during which the time sounds of the wristwatch are collected is accumulated to calculate an accumulated time sound generation time, and it is determined whether or not the accumulated time sound generation time exceeds a predetermined threshold,

the notification data output function is a function of: when it is determined in the accuracy evaluation processing that the integrated time sound generation time exceeds a predetermined threshold, the notification data prompting the watch to be inspected is output.

4. The state evaluation method according to claim 2,

the accuracy evaluation function is a function of: in the accuracy evaluation process, a roll angle of a balance provided in the wristwatch is calculated from a time sound of the wristwatch, a time period during which the roll angle exceeds a predetermined threshold value is accumulated to calculate an accumulated driving time which is a time period during which the wristwatch is driven, and it is determined whether or not the accumulated driving time exceeds the predetermined threshold value,

the notification data output function is a function of: and outputting the notification data for prompting the examination and repair of the wristwatch when the accumulated driving time is determined to exceed a predetermined threshold value in the accuracy evaluation processing.

5. The state evaluation method according to claim 2,

the accuracy evaluation function is a function of: in the accuracy evaluation process, a swing angle of a balance wheel of the watch is calculated according to a time sound of the watch, and whether the swing angle is less than or equal to a predetermined threshold value is judged,

the notification data output function is a function of: when it is determined in the accuracy evaluation processing that the swing angle is equal to or less than a predetermined threshold value, the notification data prompting the watch to be inspected is output.

6. The state evaluation method according to claim 2,

the accuracy evaluation function is a function of: in the accuracy evaluation process, a swing angle of a balance wheel of the watch is calculated according to a time sound of the watch, and whether the swing angle exceeds a predetermined threshold value is judged,

the notification data output function is a function of: when it is determined in the accuracy evaluation processing that the pivot angle exceeds a predetermined threshold, the notification data indicating that the over travel has occurred is output.

7. The state evaluation method according to claim 2,

the accuracy evaluation function is a function of: in the accuracy evaluation process, a roll angle of a balance provided in the wristwatch is calculated from a time sound of the wristwatch, and a cumulative non-carrying time obtained by accumulating a non-carrying time in which the roll angle changes within a predetermined period of time at or below a predetermined fluctuation range is calculated, and it is determined whether or not the cumulative non-carrying time exceeds a duration of the wristwatch,

the notification data output function is a function of: and outputting the notification data for urging winding of the power spring of the wristwatch when it is determined in the accuracy evaluation process that the accumulated non-carrying time exceeds the duration of the wristwatch.

8. The state evaluation method according to claim 2,

the accuracy evaluation function is a function of: in the accuracy evaluation processing, a pivot angle of a balance provided in the wristwatch is calculated from a time sound of the wristwatch, an accumulated carried time obtained by accumulating a carried time in which the pivot angle fluctuates to exceed a predetermined fluctuation range within a predetermined period is calculated, and it is determined whether or not a time obtained by multiplying the accumulated carried time by a predetermined coefficient in consideration of a body temperature of a user carrying the wristwatch exceeds a predetermined time,

the notification data output function is a function of: when it is determined in the accuracy evaluation processing that the time obtained by multiplying the cumulative carried time by the predetermined coefficient exceeds a predetermined time, the notification data prompting the examination and repair of the wristwatch is output.

9. The state evaluation method according to claim 2,

the accuracy evaluation function is a function of: in the accuracy evaluation processing, a difference rate of the wristwatch during a predetermined period is calculated from a time sound of the wristwatch, and it is determined whether or not a change amount of the difference rate exceeds a predetermined threshold value,

the notification data output function is a function of: and outputting the notification data for urging demagnetization or repair of the wristwatch when it is determined that the amount of change in the difference rate exceeds a predetermined threshold value.

10. The state evaluation method according to claim 1,

the state data acquisition function includes a posture data acquisition function of acquiring posture data representing the posture of the wristwatch collected by the sensor, and a time sound data acquisition function of acquiring time sound data representing the time sound of the wristwatch collected by the sensor,

the state evaluation function is a function of: evaluating a tendency of the posture of the wristwatch based on the posture data, calculating a difference rate of the wristwatch based on a time sound indicated by the time sound data, and determining whether the difference rate of the wristwatch deviates from a predetermined range,

the notification data output function is a function of: when it is determined that the difference rate of the wristwatch deviates from the predetermined range, the notification data urging the maintenance of the wristwatch is output in accordance with the tendency of the posture of the wristwatch.

11. The state evaluation method according to claim 1,

the state data acquisition function includes an acceleration data acquisition function of acquiring acceleration data representing acceleration of the wristwatch collected by the sensor, and a time sound data acquisition function of acquiring time sound data representing time sound of the wristwatch collected by the sensor,

the state evaluation function is a function of determining whether or not: acceleration indicated by the acceleration data exceeds a predetermined threshold value, and a difference rate of the wristwatch calculated from the time-sound data deviates from a predetermined range,

the notification data output function is a function of: and outputting the notification data for prompting the examination and repair of the wristwatch when it is determined that the acceleration indicated by the acceleration data exceeds a predetermined threshold and the difference rate of the wristwatch calculated from the time sound data is out of a predetermined range.

12. The state evaluation method according to claim 1,

the state data acquisition function is an angular velocity frequency data acquisition function that acquires angular velocity frequency data collected by the sensor, the angular velocity frequency data representing the frequency of an angular velocity applied to the wristwatch in at least two ranges of angular velocity,

the state evaluation function is a function of: determining whether or not a frequency in a range in which the angular velocity indicated by the angular velocity frequency data exceeds a predetermined threshold,

the notification data output function is a function of: when it is determined that the frequency in the range in which the angular velocity indicated by the angular velocity frequency data exceeds the predetermined threshold, the notification data indicating that the power spring of the wristwatch has been wound up is output.

13. The state evaluation method according to claim 1,

the notification data output function is a function of: when it is not determined that the frequency in the range in which the angular velocity indicated by the angular velocity frequency data exceeds the predetermined threshold, the notification data urging the power spring of the wristwatch to be wound up is output.

14. The state evaluation method according to claim 1,

the state data acquisition function includes a temperature data acquisition function that acquires temperature data representing the temperature of the wristwatch collected by the sensor, and a time sound data acquisition function that acquires time sound data representing the time sound of the wristwatch collected by the sensor,

the state evaluation function is a function of: determining whether or not the difference rate of the wristwatch calculated from the time sound data is out of a predetermined range at the temperature indicated by the temperature data,

the notification data output function is a function of: and outputting the notification data for prompting the watch to be overhauled when the difference rate of the watch calculated according to the time sound data is determined to be out of a predetermined range at the temperature indicated by the temperature data.

15. The state evaluation method according to claim 1,

the state data acquisition function is a temperature data acquisition function as follows: acquiring temperature data representative of a temporal variation of a temperature of the watch collected by the sensor,

the state evaluation function is a function of: calculating a cumulative non-carrying time which is a cumulative time of a time during which the wristwatch is not carried by the user by accumulating times during which the temperature indicated by the temperature data is lower than a predetermined threshold value, and determining whether or not the cumulative non-carrying time exceeds the predetermined threshold value,

the notification data output function is a function of: and outputting the notification data for urging winding of the power spring of the wristwatch when it is determined that the accumulated non-carrying time exceeds a predetermined threshold value.

16. The state evaluation method according to claim 1,

the state data acquisition function includes the following magnetic data acquisition functions: acquiring magnetic data collected by the sensor representing a temporal variation of a magnetic intensity applied to the watch,

the state evaluation function includes the following functions: determining whether the magnetic strength indicated by the magnetic data exceeds a prescribed threshold value,

the notification data output function includes the following functions: and outputting the notification data for urging demagnetization of the wristwatch when it is determined that the magnetic intensity indicated by the magnetic data exceeds a predetermined threshold value.

17. The state evaluating method according to claim 16,

the state data acquisition function further includes a time and sound data acquisition function that: acquiring time sound data representing the time sound of the watch collected by the sensor,

the state evaluation function further includes the following functions: determining whether or not the difference rate calculated from the time sound indicated by the time sound data is out of a predetermined range,

the notification data output function further includes the following functions: and outputting the notification data for prompting the watch to be overhauled when the difference calculated according to the time sound shown by the time sound data is judged to be out of a predetermined range.

18. A wristwatch band equipped with a computer that executes the state evaluation method according to any one of claims 1 to 17.

19. A storage medium storing a program for executing the state evaluation method according to any one of claims 1 to 17.